Software Engineer, Infrastructure Modeling & Automation

Fluidstack

Seattle, New York, San Francisco, Austin (WA, NY, CA, TX)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Pay equity

Job summary

Fluidstack in Seattle is hiring to build the software behind our infrastructure models. You will create services, APIs, and pipelines that make CAD/BIM design data programmable and scalable for gigawatt-scale deployments.

Join a team that ships generative tooling and integrates the design stack end-to-end, with ownership of model data at scale and strong emphasis on quality and reliability. Collaborate with hardware and software engineers in a fast-paced environment focused on frontier AI

Qualifications

  • You have built software against CAD or BIM platforms or engineering data.
  • You have shipped automation that replaced manual design work.
  • You handle geometric and graph-shaped data competently.
  • You write production code and integrate messy vendor APIs.
  • You work embedded with engineers as your users.

Responsibilities

  • Build the software behind the infrastructure model: services, APIs, and pipelines.
  • Ship generative tooling: layouts, routings, and configurations produced from rules and the model.
  • Integrate the design stack: CAD and BIM platforms, PLM, and the company's data layer speaking one language.
  • Own the model data at scale: versioning, validation, and queryability across gigawatts of design.

Skills

CAD/BIM platforms
Automation of design work
Geometric data handling
Graph data
Production code
Embedded with engineers

Tools

Revit API
Tekla API
Forge APIs

Job description

Fluidstack in Seattle is hiring to build the software behind our infrastructure models. You will create services, APIs, and pipelines that make CAD/BIM design data programmable and scalable for gigawatt-scale deployments.

Join a team that ships generative tooling and integrates the design stack end-to-end, with ownership of model data at scale and strong emphasis on quality and reliability. Collaborate with hardware and software engineers in a fast-paced environment focused on frontier AI

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